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opencv dnn模型训练 参考眼底图像血管分割retina-unet实现的文档去噪、去水印

Python 100.00%

unet-denoising-dirty-documents's Introduction

unet-denoising-dirty-documents

unet 实现文本文档去噪、去水印

requirement

torch 1.2.0
torchvision 0.4.0
opencv-python 4.1.0.25
numpy 1.16.2

usage

1. dataset

下载链接:denoising-dirty-documents数据集
提取码:d8l7
dir.jpg

2. train

python train.py
数据增强在 transforms.py 包括灰度化、水平垂直翻转、旋转、裁剪、直方图均衡化、均值滤波、Log灰度变换

3. predict

python predict.py

4. pretrained model

下载链接:预训练模型1.5M
提取码:poyf

test images

test_001.jpg test_002.jpg test_003.jpg test_004.jpg

reference

眼底图像血管分割 retina-unet

unet-denoising-dirty-documents's People

Contributors

1024210879 avatar williamqf-ai avatar

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